Semantic Scholar MCP Server
by JackKuo666
This project implements a Model Context Protocol (MCP) server for interacting with the Semantic Scholar API. It provides tools for searching papers, retrieving paper and author details, and fetching citations and references.
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What is Semantic Scholar MCP Server?
The Semantic Scholar MCP Server is a server that allows you to interact with the Semantic Scholar API using the Model Context Protocol. It provides tools to search for academic papers, retrieve paper and author details, and fetch citations and references.
How to use Semantic Scholar MCP Server?
First, clone the repository and install the required Python packages (semanticscholar and mcp). Then, start the server by running python semantic_scholar_server.py. Finally, use an MCP client (like Claude Desktop, Cursor or Cline) to interact with the server and access the provided tools.
Key features of Semantic Scholar MCP Server
Search for papers on Semantic Scholar
Retrieve detailed information about specific papers
Get author details
Fetch citations and references for a paper
Use cases of Semantic Scholar MCP Server
Literature review
Research paper writing
Finding relevant publications
Exploring academic networks
FAQ from Semantic Scholar MCP Server
What is Semantic Scholar?
What is Semantic Scholar?
Semantic Scholar is a free, AI-powered research tool for scientific literature.
What is MCP?
What is MCP?
Model Context Protocol (MCP) is a protocol for communication between applications and AI models.
What Python version is required?
What Python version is required?
Python 3.10 or higher is required.
How do I install the server?
How do I install the server?
Clone the repository and install the required packages using pip install semanticscholar mcp.
How do I contribute to the project?
How do I contribute to the project?
Contributions are welcome! Please feel free to submit a Pull Request.